In this video excerpt, Mike Kuniavsky lays out the challenges and points to some potential approaches for the user experience design of dynamic, adaptive, predictive devices (such as the Nest Thermostat, the Amazon Echo, the Edyn water monitor, etc.) that use machine learning to create predictive models of people and sensors.

Mike Kuniavsky leads user experience design in the Innovation Services Group at PARC, a Xerox company. A 20-year veteran of digital product development, he designs products, business processes, and services at the leading edge of technological change. Prior to PARC, Mike co-founded several successful user-experience-centered companies, including ThingM, which designs and manufactures ubiquitous computing and Internet of Things products, and Adaptive Path, a well-known design consultancy. He has worked with top technology companies, such as Sams...